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Automated Registration of Polarimetric Image Using Wavelet Transform Techniques

机译:利用小波变换技术自动配准极化图像

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The quality of polarimetric images deduced from three different angle radiometric images depends greatly on the accuracy of the images registration. The researches indicate that image misregistration with 1/10th order of magnitude of a pixel can introduce artifacts in polarization images. Typically, translation, rotation and scaling are the main image deformations to be corrected. It is desirable to have a registration algorithm that corrects translations, rotations and scaling to 1/10th of a pixel just based on analytical, automated calculation, without user intervention. This paper presents an automated image registration algorithm by using wavelet transform technique. The algorithm relies on the local wavelet transform modulus maxima of the images. Examples of images registered with this algorithm are presented. The results testify this method is effective to correct the image misregistration of three different angle radiometric images.
机译:由三个不同角度的辐射图像得出的偏振图像的质量在很大程度上取决于图像配准的准确性。研究表明,像素错位为像素的1/10数量级会在偏振图像中引入伪影。通常,平移,旋转和缩放是要校正的主要图像变形。希望有一种仅基于分析,自动计算而无需用户干预的,将平移,旋转和缩放比例校正为像素的1/10的配准算法。提出了一种基于小波变换的图像自动配准算法。该算法依赖于图像的局部小波变换模极大值。展示了用该算法注册的图像示例。结果证明该方法对纠正三个不同角度的辐射图像的图像配准是有效的。

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